Apr 4 2025
لوگو

Research Center for Biomedical Technologies and Robotics

Tehran University of Medical Sciences

 

Introduction to the Laboratory
 
The Biomedical Signal and Equipment Laboratory (BIS Lab) operates with a team of some of the country’s most distinguished researchers and professors, focusing on the design and development of medical equipment, vital signal recording systems, biosignal processing, and modeling of biological systems. The group has successfully developed a visual stimulation system capable of applying any model of visual stimulation. It has also designed a high-precision contact blood pressure measurement system. Significant progress has been made in the field of Brain-Computer Interfaces (BCI), and the results have been published in the world’s most prestigious journals. The "Smart Device for Real-Time Neuromuscular System Function Assessment," designed and developed by the researchers of this lab in 2023, was nominated as a finalist in the international BCI Awards 2023.
 
The laboratory has also designed an experimental prototype for a non-invasive, continuous blood glucose level measurement device for modeling blood sugar fluctuations. Additionally, it has designed and built an integrated and portable system for measuring otoacoustic emissions (OAE) and brainstem responses to auditory stimuli (ABR). Another achievement includes designing and constructing an experimental module for processing brainstem responses to complex auditory stimuli (cABR).
 
 
Main Goals and Priorities of the Biomedical Signal and Equipment Laboratory:
 
Advanced processing of vital biosignals and modeling of biological systems
Processing of nonlinear and chaotic systems
Design of diagnostic assistance systems using signal processing methods and Artificial Intelligence (AI)
Analysis and processing of medical data (signals and images) using AI, machine learning, and deep learning networks
Design and construction of hardware for vital signal recording
Development of rehabilitation systems and Brain-Computer Interfaces based on visual, auditory, and motor stimuli
Modeling of cancer, therapeutic interventions, drug effects, epilepsy, and more
Smart system for assessing the functionality of the neuromuscular system
Computational neuroscience
 
 
 
Contact us:
 
02166581505 (ext. 122)
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